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We apply Multi-Agent Deep Reinforcement Learning (MADRL) to inventory management problems with multiple echelons and … constructed by single-agent deep reinforcement learning and other heuristic policies. Also, the application of HAPPO results in a … less significant bullwhip effect than policies constructed by single-agent deep reinforcement learning where information is …
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We consider two-echelon supply chains with one supplier and two retailers. Retailers are censored newsvendors facing general parametric demand distributions involving unknown parameters. Using a Bayesian MDP formulation, we investigate how the supplier can make use of the combined information...
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